The invention provides a Jinhua pork quality improvement method and
system based on
data mining, and relates to the technical field of intelligent breeding, and the method comprises the steps: obtaining an
original data set; performing data fusion according to the
original data set, and obtaining a multi-
modal association graph by constructing an entity-relation
network topology structure; performing potential influence path extraction according to the multi-
modal association map to obtain an influence path set; performing interaction effect modeling according to the influence path set to obtain a dynamic effect model; performing meat defect tracing according to the dynamic
action model to obtain a defect driving factor set; and generating an optimization strategy according to the defect driving factor set to obtain a meat quality improvement
decision scheme. According to the method, the multi-factor relation network is constructed by integrating Jinhua pig full-period multi-
source data, the key conduction path and the dynamic
interaction model influencing meat quality formation are accurately extracted, and the nonlinear
antagonism relation between the leaf fat deposition tendency and
intramuscular fat accumulation under the specific physiological mechanism of the Jinhua pigs is systematically quantified.